class_docstr: This class is responsible for building components for semantic segmentation. 
code: def _build_optimizer(self, opt_cfg) -> paddle.optimizer.Optimizer:
      assert (
          opt_cfg != {}
      ), "No optimizer specified in the configuration file."
      # For compatibility
      if opt_cfg["type"] == "adam":
          opt_cfg["type"] = "Adam"
      if opt_cfg["type"] == "sgd":
          opt_cfg["type"] = "SGD"
      if opt_cfg["type"] == "SGD" and "momentum" in opt_cfg:
          opt_cfg["type"] = "Momentum"
          logger.info(
              "If the type is SGD and momentum in optimizer config, "
              "the type is changed to Momentum."
          )
      self.show_msg("optimizer", opt_cfg)
      opt = self.build_component(opt_cfg)
      return opt
  
imports: import copy
  from typing import Any, Optional
  import yaml
  import paddle
  from paddleseg.utils import logger
  from paddleseg.cvlibs import Builder
  from paddleseg.utils.utils import CachedProperty
  from cvlibs import Config
  from batch_transforms import BoxMaskGenerator
  from .None import manager
  from utils import utils
label_desc: Use image node_id 4 for calling the CPSBuilder obj's underlying member method code with example usage: obj._build_optimizer(opt_cfg) and returns: opt